Rapid User Researcher

Who We Are

Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

We're seeking a Rolling User Researcher (Rolling UXR) to deliver fast, high-signal insights that improve Notion's product experiences across Product, Design, and Engineering (EPD)—including AI-powered workflows like Notion custom agents and chat. This is a tactical, high-velocity role: you’ll run lightweight usability and concept tests on a steady cadence, identify what’s not working, and help teams translate feedback into concrete product changes.

Besides conducting research, you’ll also build and scale a program that makes it easy for product teams to submit testing requests and easy for you to recruit participants, along with a prioritization framework that helps you focus on the most important work.

This role is ideal for a researcher who loves the craft of moderated testing, can context-switch across many teams, and thrives in a “many small studies” model.

This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

• End-to-end tactical research:
  Scope, design, and execute quick-turn research across the product lifecycle—delivering clear recommendations that drive product decisions, including
  • Rolling usability testing:
    Plan and moderate rapid usability tests on prototypes and in-product flows; identify friction, comprehension gaps, and failure points; recommend practical fixes and prototype them with AI.
  • Concept testing:
    Help teams evaluate early ideas (storyboards, low/high-fidelity prototypes, new IA) to understand desirability, comprehension, and expected workflows—before teams invest heavily in build.
• Research pipeline ownership:
  Keep an always-on motion healthy by managing intake/prioritization, study cadence, participant recruitment, and consistent output formats so partners know what to expect and can act quickly.
• Communication:
  Deliver crisp, actionable recommendation (severity, confidence, recommended next steps) in the right format for the audience—async write-ups, clips, or working sessions.
• Business-minded impact:
  Connect findings to outcomes—why an issue matters, what to change, and what to watch—then follow through with teams to ensure improvements land.

• Research craft:
  You can independently run usability and/or concept tests end-to-end (scoping → protocol → moderation → synthesis → readout), and you know how to keep scope tight while preserving rigor. You’re also comfortable using AI thoughtfully to speed up prep/synthesis while maintaining quality and traceability to evidence.
• AI fluency:
  You’re curious and hands-on with AI products and can translate concepts, like trust, usefulness, tone, safety, and clarity, into observable behaviors and research questions.
• Pragmatism + speed:
  You excel at prioritizing in fast-moving environments, are comfortable with ambiguity, and can deliver quality research quickly with transparent limitations.
• Systems thinking:
  You can quickly understand complex user journeys and identify where experiences break down across the system—from inputs, to product behavior, to UI patterns.
• Communication:
  You write clearly, facilitate effectively, and can translate messy data into decisions and next steps for busy EPD partners.
• Collaboration:
  
  You’re comfortable working across many stakeholders and switching context quickly without dropping details.
• Experience:
  
  3+ years of hands‑on UX research experience (industry, agency, or equivalent)

• Familiarity with AI-enabled product experiences (e.g., assistants/agents) and how to evaluate workflow success, user expectations, and trust.
• Comfort collaborating on research‑operations basics (recruiting, scheduling,…